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svmMLiA
- 支持向量机是最常用的一种分类器，它通过求解一个二次优化问题来最大化分类间隔，本例采用的SMO算法，可以大大优化运行-Support vector machine is the most commonly used classifier, it can be used to solve a two optimization problem to maximize the classification interval, this example uses the SMO algorithm, ca
easy_svm
- 通过MATLAB实现基于SVM支持向量机的分类器的设计和仿真-The design and Simulation of the classifier based on SVM support vector machine is realized by MATLAB
vector-svm-algorithm
- 支持向量机（SVM）是与相关的学习算法有关的监督学习模型，可以分析数据，识别模式，用于分类和回归分析。-Support Vector Machine (SVM) is associated with learning algorithm related supervised learning model, you can analyze data, identify patterns, used for classification and regression analysis.
SVM
- 支持向量机源程序代码，用此程序可以进行数据的分类-Support vector machine source code, using this program can be used for data classification
MKSVM
- 模糊支持向量机的代码程序,代码包含了多分类的分类器-The Fuzzy SVM
EEMD-Insect-damaged
- 本文是通过经验模态分解对信号进行分解，判断出小麦的完好和虫蛀的情况。最后将分解的信号用支持向量机进行识别分类，得出识别精度。-This article is by empirical mode decomposition signal decomposition, it judged the situation well and insects of wheat. Finally, the decomposition of SVM signal recognition and classific
SVM
- 支持向量机分类程序，使用高斯核函数，SMO顺序最优化算法，为学习SVM提供参考-SVM program, using a Gaussian kernel, SMO sequence optimization algorithm to provide a reference for learning SVM
pca_svm
- 对提取的高维人脸特征进行降维。然后利用支持向量机分类器对其进行分类识别-High dimensional face feature extraction of dimensionality reduction. Then support vector machine classifier its classification
niejeng_v56
- matlab开发工具箱中的支持向量机，可以实现模式识别领域的数据的分类及回归，相控阵天线的方向图（切比雪夫加权）。- matlab development toolbox support vector machine, You can achieve data classification and regression pattern recognition, Phased array antenna pattern (Chebyshev weights).
svm
- 支持向量机算法用于图像分类的程序，实现算法并输出图像-Support vector machine
BTSVM
- 基于孪生支持向量机的二叉树多分类 结合TSVM，依据类间距和类内距离构建二叉树的层次结构-TSVM MATLAB
svm1
- 支持向量机是针对多种数据需要分类的问题，通过训练数据特征，然后再在其基础上面进行测试识别。-Support vector machine is needed for a variety of data classification problem, characterized by the training data, then the basis of the above test its recognition.
SVM_max
- 最大支持向量机分类算法是一种比较很好的解决了多数据的分类问题。-Maximum support vector machine classification algorithm is a relatively good solution to the problem of multiple classification data.
laopao
- Relief计算分类权重，matlab开发工具箱中的支持向量机，未来线路预测,分析误差。- Relief computing classification weight, matlab development toolbox support vector machine, Future line prediction, error analysis.
pangmui_v42
- Relief计算分类权重，Matlab实现界面友好，matlab开发工具箱中的支持向量机。- Relief computing classification weight, Matlab to achieve user-friendly, matlab development toolbox support vector machine.
python-code-for-Machine-learning
- 用于机器学习的全方位python代码，包括K-近邻算法、决策树、朴素贝叶斯、Logistic 回归 、支持向量机、利用 AdaBoost 元算法提高分类性能、预测数值型数据：回归、树回归、利用 K-均值聚类算法对未标注数据分组、使用 Apriori 算法进行关联分析、使用 FP-growth 算法来高效分析频繁项集、利用 PCA 来简化数据、利用 SVD 简化数据、大数据与 MapReduce-The full range of python code for machine learning
AINN
- 基于VC++的人工智能支持向量机分类和回归分析-AI SVM REGRESSION CLASSIFIER BASEED ON VC++
SVM_classifier
- 使用SVM（支持向量机）进行函数分类，神经网络-Using SVM (support vector machine) for function classification, neural network
Classification
- 多文本分类，有数据集，中文文本，支持向量机的-Text classification, data sets, the Chinese text, the support vector machine (SVM)
gaoying_v89
- 用于建立主成分分析模型，matlab开发工具箱中的支持向量机，可以实现模式识别领域的数据的分类及回归。- Principal component analysis model for establishing, matlab development toolbox support vector machine, You can achieve data classification and regression pattern recognition.